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Structure and Interpretation of Dual-Feasible Functions

Matthias Köppe(mkoeppe***at***math.ucdavis.edu)
Jiawei Wang(jwewang***at***ucdavis.edu)

Abstract: We study two techniques to obtain new families of classical and general Dual-Feasible Functions: A conversion from minimal Gomory--Johnson functions; and computer-based search using polyhedral computation and an automatic maximality and extremality test.

Keywords:

Category 1: Combinatorial Optimization (Other )

Category 2: Integer Programming (Cutting Plane Approaches )

Citation: 6 pages extended abstract to appear in Proc. LAGOS 2017, with 21 pages of appendix.

Download: [PDF]

Entry Submitted: 06/13/2017
Entry Accepted: 06/14/2017
Entry Last Modified: 06/13/2017

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